Data Platform / Data Warehouse Architect

Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern Enterprise Data Platform (EDP), developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes with the following track record: Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree with an overall 5+ years of experience in developing Enterprise Data Technology Strategies, articulating the use of the Data Engineering Delivery Methodologies, building the Data Engineering Standards & Best Practices to ensure alignment of Data/Analytics/ML Products with the Target State Architecture, and promoting the use of the Data Engineering products in the community of Users using industry standard Enterprise Architecture frameworks such as TOGAF, FEAF, DODAF etc. Roles and Responsibilities: Designs, implements, and supports data warehouse and analytics platform modernization initiatives. Oversees the organizational sustainability of data warehouse and data analytics process improvement. The Data Platform Architect’s responsibilities include: Design and maintain the overall architecture for enterprise data platforms, ensuring scalability, reliability, and alignment with business objectives. Oversee the implementation of modern data platform components, such as storage, streaming, and orchestration services, and ensure they function cohesively. Establish governance frameworks for data quality, security, metadata management, and compliance with organizational and regulatory requirements. Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmap initiatives. Responsible for selection of appropriate hardware, software, tools and system lifecycle techniques for different components of data warehouse architecture including ETL, Metadata, data profiling software, performance monitoring, reporting and analytic tools.

Minimum 5 years’ experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy. Minimum of 5 years’ experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise. Minimum of 3 years’ experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc. Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree Most Preferred Skills Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks Other Preferred Skills: Key Programming Languages: SQL, Python, R, Java Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI, Tableau